Описание: This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data.
Описание: Geographic Information Systems (GIS) play a pivotal role in the field of urban planning and management and provide better solutions for numerous urban problems. With GIS, one has the ability to better understand existing requirements of a city and its design to fulfill those needs. This book contributes to developing scientific knowledge based on geospatial technologies among planners, researchers, scientists, professionals, students, and laymen and providing them with better understanding for urban planning and management at various levels. The book manifests the importance of GIS in better understanding of current urban challenges and provides new insights on how to apply GIS in urban planning. It also encourages the various stakeholders of society to participate in the decision-making process and assists planners and authorities to formulate suitable plans for sustainable urban growth of a region. The book is divided into two parts. The first part describes the fundamental concepts of GIS and also deals with the advanced techniques of spatial planning. The second part addresses real-world case studies using various applications of GIS. The case studies include urban land-use changes, simulation of future urban growth, urban heat island, alternate landfill site selection and urban flood susceptibility mapping, among others. This book shows how to integrate GIS with remote sensing, geostatistics, artificial intelligence-machine learning techniques, and other cutting-edge technologies. Readers find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management.
Автор: Uwe Soergel Название: Radar Remote Sensing of Urban Areas ISBN: 9048137500 ISBN-13(EAN): 9789048137503 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text focuses on state-of-the-art methodologies to extract information about urban areas from Synthetic Aperture Radar data. It includes case studies that are sorted into two groups-the mapping of the current urban state and the monitoring of change.
Автор: Paola Pucci; Fabio Manfredini; Paolo Tagliolato Название: Mapping Urban Practices Through Mobile Phone Data ISBN: 331914832X ISBN-13(EAN): 9783319148328 Издательство: Springer Рейтинг: Цена: 7836.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the potential value of using mobile phone data to monitor urban practices and identify rhythms of use in today`s cities.
Описание: This book highlights the application of Geographical Information System (GIS) and nature based algorithms to solve the problems of water and water based renewable energy resources.
Описание: This contributed volume collects cutting-edge research in Geographic Information Science & Technologies, Location Modeling, and Spatial Analysis of Urban and Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of urban and regional contexts.
Описание: This contributed volume collects cutting-edge research in Geographic Information Science & Technologies, Location Modeling, and Spatial Analysis of Urban and Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of urban and regional contexts.
Описание: Praise for the Second Edition: "A tour de force. Anyone seeking a combined primer and state-of-the-art summary on almost any facet of current geographical information systems (GIS) will find it here. " --International Journal of Geographical Information Science "Stands as a definitive reference to GIS...
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 14573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Автор: Prasad S. Thenkabail Название: Hyperspectral remote sensing of vegetation / ISBN: 1138066257 ISBN-13(EAN): 9781138066250 Издательство: Taylor&Francis Рейтинг: Цена: 76560.00 р. Наличие на складе: Нет в наличии.
Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.
Описание: This proceedings book presents the first-ever cross-disciplinary analysis of 16th-20th century South, East, and Southeast Asian cartography. Geographically, the topics were limited to South Asia, East Asia and Southeast Asia, with special attention to India, China, Japan, Korea and Indonesia.
Описание: This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.
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